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IFAC Proceedings Volumes
Article . 2007 . Peer-reviewed
License: Elsevier TDM
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ESTIMATION OF JOB COMPLETION TIMES IN A DYNAMIC SHOP JOB BASED ON STATIC JOB SHOP SOLUTION

Authors: Tobias Roithner; Christoph Heitz;

ESTIMATION OF JOB COMPLETION TIMES IN A DYNAMIC SHOP JOB BASED ON STATIC JOB SHOP SOLUTION

Abstract

Abstract We investigate the temporal behaviour of completion time estimates derived from scheduling algorithms that are based on the set of already known and accepted orders (static job shop problem). In a dynamic job shop environment, these estimates change over time, typically increasing. This leads to a systematic error in the completion time estimation based on static job shop algorithms. We propose an approach for calculating this systematic error. Furthermore, a method for compensating this error is derived. For some simple examples, the theory is worked out and compared with simulation results. In all cases, the estimates based on the static algorithm can substantially be improved.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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